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Misinformation exploits outrage to spread online
16 references·0 citing·35 second hopsampled
Misinformation exploits outrage to spread online (2024)Misinformation exploits outrage to spread…Misinformation: susceptibility, spread, and interventions to immunize the public (2022)Misinformation: susceptibilit…Shifting attention to accuracy can reduce misinformation online (2021)Shifting attention to accurac…Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter (2021)Partisan Polarization Is the …Out-group animosity drives engagement on social media (2021)Out-group animosity drives en…Susceptibility to misinformation about COVID-19 around the world (2020)Susceptibility to misinformat…Exposure to untrustworthy websites in the 2016 US election (2020)Exposure to untrustworthy web…Trends in the diffusion of misinformation on social media (2019)Trends in the diffusion of mi…Less than you think: Prevalence and predictors of fake news dissemination on Facebook (2019)Less than you think: Prevalen…Fighting misinformation on social media using crowdsourced judgments of news source quality (2019)Fighting misinformation on so…Fake news on Twitter during the 2016 U.S. presidential election (2019)Fake news on Twitter during t…The spread of true and false news online (2018)The spread of true and false …The science of fake news (2018)The science of fake newsSocial Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature (2018)Social Media, Political Polar…Influence of fake news in Twitter during the 2016 US presidential election (2018)Influence of fake news in Twi…Emotions, Partisanship, and Misperceptions: How Anger and Anxiety Moderate the Effect of Partisan Bias on Susceptibility to Political Misinformation (2015)Emotions, Partisanship, and M…Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior (2013)Emotions and Information Diff…The Measurement of Observer Agreement for Categorical Data (1977)Content Analysis: An Introduction to its Methodology. (1984)Users of the world, unite! The challenges and opportunities of Social Media (2009)The age of Twitter: Donald J. Trump and the politics of debasement (2016)Advances in Social Media Research: Past, Present and Future (2017)What Drives Virality (Sharing) of Online Digital Content? The Critical Role of Information, Emotion, and Brand Prominence (2019)Measuring nominal scale agreement among many raters. (1971)The nature of human altruism (2003)What Makes Online Content Viral? (2011)On the Opportunities and Risks of Foundation Models (2021)The echo chamber effect on social media (2021)Exposure to ideologically diverse news and opinion on Facebook (2015)Social Media and Fake News in the 2016 Election (2017)Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning (2018)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)The COVID-19 social media infodemic (2020)Fake news, disinformation and misinformation in social media: a review (2023)The Strength of Weak Ties (1973)The case for motivated reasoning. (1990)The Filter Bubble: What the Internet Is Hiding from You (2011)Public Health and Online Misinformation: Challenges and Recommendations (2019)The Psychology of Fake News (2021)Cognitive Reflection and Decision Making (2005)Misinformation and Its Correction (2012)The future of social media in marketing (2019)Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention (2020)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)Using social and behavioural science to support COVID-19 pandemic response (2020)Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA (2021)The psychological drivers of misinformation belief and its resistance to correction (2022)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Nature and Operation of Attitudes (2001)The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes (2019)
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References

  • 2018The spread of true and false news online9,262 cited
  • 2018The science of fake news4,370 cited
  • 2019Fake news on Twitter during the 2016 U.S. presidential election1,814 cited
  • 2019Less than you think: Prevalence and predictors of fake news dissemination on Facebook1,696 cited
  • 2013Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior1,620 cited
  • 2018Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature1,465 cited
  • 2020Susceptibility to misinformation about COVID-19 around the world1,447 cited
  • 2021Shifting attention to accuracy can reduce misinformation online1,308 cited
  • 2018Influence of fake news in Twitter during the 2016 US presidential election1,075 cited
  • 2019Fighting misinformation on social media using crowdsourced judgments of news source quality1,051 cited
  • 2019Trends in the diffusion of misinformation on social media680 cited
  • 2021Out-group animosity drives engagement on social media674 cited
  • 2021Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter612 cited
  • 2020Exposure to untrustworthy websites in the 2016 US election586 cited
  • 2022

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Misinformation: susceptibility, spread, and interventions to immunize the public
568 cited
  • 2015Emotions, Partisanship, and Misperceptions: How Anger and Anxiety Moderate the Effect of Partisan Bias on Susceptibility to Political Misinformation531 cited
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